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Toward Malleable Model Coupling

Larson, Jay; Kim, Daihee; Chiu, Kenneth


Model coupling is a method to simulate complex multiphysics and multiscale phenomena. Most approaches involve static data distribution among processes without the consideration of top-level dynamic load balancing. Malleability, the ability to change the number of processes during execution, allows applications to configure themselves to better utilize available system resources. To date, however, malleability has been applied primarily to monolithic applications. We have extended the Model...[Show more]

CollectionsANU Research Publications
Date published: 2011
Type: Conference paper
Source: Block-Entropy Analysis of Climate Data
DOI: 10.1016/j.procs.2011.04.033


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